IOblend

for

manufacturing use cases

Automate your plant data analytics

IOblend handles a wide variety of data analytics use cases.

It is especially well-suited to handling real-time IoT data generated by the manufacturing sector.

IOblend can connect directly to the factory machines and flow the data as it is being generated to the analytics systems.

Analysing the data in real-time allows you to see what is happening to your plant as it operates. 

You can add predictive analytics on top and start managing resources, wear and tear and reduce stoppages, leading to big operational efficiencies and lower cost.

woman, technician, labor-8727241.jpg

Reduce costs with real-time analytics across your manufacturing estate

Drive better efficiency with data automation

Streamline complex workflows with up-to-date inventory and order information.

Deliver big cost efficiencies

Attain more precise, real-time visibility of activities throughout the manufacturing network to reduce costs.

Make on-the-fly decisions

Analyse data in real-time to gain insights into your plant’s operations as they occur.

Keep your machines running

Automatically monitor and maintain factory equipment to boost efficiency through predictive maintenance.

IOblend gives boost to a medical device company

It is but one of the examples of how IOblend moves the data integration game forward.

This customer manufactures equipment across seventeen plants spread over several countries.

Their manufacturing machinery is very advanced and capable of producing real time data as it operates.

However, the company’s central legacy data systems and processes prevented them from obtaining that data efficiently.

They had to rely on manual extracts of the machine data, dropping it into a CSV and sending once a week to the HQ for processing and analytics.

This data was always at least a week in arrears, meaning that live production decisions were impossible to make from the HQ. Live inventory, machine downtime, component quality, etc had to be addressed well after the issues (and costs) have occurred – reactive approach.

The company was looking at improving that situation with modern, real time analytics capabilities using the Cloud and modern tools.

The challenge arose when they realised that a solution like this would have taken them eight months to implement with the prevalent technologies and cost seven figures before the running expenses (licenses + users + SaaS fees).

In addition, they would need to hire and train a number of additional engineers to maintain and manage the solution stack.

The business case was proving difficult for the internal teams to justify.

Real-time analytics delivers big efficiencies

We installed IOblend on the client’s Azure Cloud, behind their security firewall.

We then proceeded to connect all seventeen factories and enabled true real time data flows using our proprietary Spark-based engine – full end-to-end integration.

IOblend automatically applied data management and data governance policies, again in real time, thus ensuring the data flowing through the pipelines was robust and reliable.

After applying the client’s business logic to data transformations, blending real time, adding static lookups and aggregating the running totals, the data was ready for onward consumption.

Data processing is happening in-memory and is highly distributed, so we achieve very high processing efficiency and low latency.

When there were data source related disruptions, such as machine downtime, network issues, etc., IOblend would automatically recover the data and reprocess all transforms with alerts sent to the system admins.

The output of the pipelines is channelled directly to the analytics dashboard, forecasting model and an inventory management system, enabling real time decisioning by the central teams – proactive approach.

The ease of implementation of IOblend meant that the original project timeline of eight months was reduced to just three weeks.

Additional efficiencies were gained through minimal maintenance and supervision requirements.

The business win? A seven figure efficiency gain.

internet of things, iot, network-4129218.jpg
We can help your factories save money

Would you like us to tell you how you can gain significant efficiencies from your manufacturing plants and not break the bank?

Scroll to Top